Listar ITIS - Contribuciones a congresos científicos por título
Mostrando ítems 15-34 de 63
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Combining OCL and Natural Language: a Call for a Community Effort
Cabot, Jordi; Delgado, David; Burgueño-Caballero, Lola
(ACM, 2022-10)
The growing popularity and availability of pretrained natural language models opens the door to many interesting applications combining natural language (NL) with software artefacts. A couple of examples are the generation ... -
Crazy Chefs!: videojuego serio gamificado basado en tecnología de captura de movimientos para fomentar la socialización y el entrenamiento físico de personas mayores
Bossavit, Benoit; Urbano, Juan Miguel ; Fernández-Leiva, Antonio José (CEUR Workshop Proceedings, 2022-12)
Uno de los principales objetivos del programa marco de la UE Horizon Europa persigue mejorar la salud y el bienestar de los ciudadanos usando soluciones innovadoras para prevenir, diagnosticar, tratar o curar una enfermedad. ... -
DASSCi: Avatares Digitales Deportivos en Ciudades Inteligentes.
Toro-Gálvez, Lorenzo; Moreno-Vergara, Natalia; Canal-Velasco, José Carlos; Troya-Castilla, Javier (2023)
Las nuevas tecnologías han impulsado la evolución de las ciudades inteligentes, las cuales buscan mejorar la calidad de vida de sus habitantes y optimizar la gestión de recursos urbanos a través de soluciones innovadoras ... -
Dealing with Belief Uncertainty in Domain Models.
Burgueño-Caballero, Lola; Muñoz Ariza, Paula; Clarisó, Robert; Cabot, Jordi; Gérard, Sébastien; Vallecillo-Moreno, Antonio Jesús[et al.] (2023)
There are numerous domains in which information systems need to deal with uncertain information. These uncertainties may originate from different reasons such as vagueness, imprecision, incompleteness or inconsistencies; ... -
Decomposing the Rationale of Code Commits: The Software Developer’s Perspective.
Al Safwan, Khadijah; Servant-Cortés, Francisco Javier (Association for Computing Machinery (ACM), 2019)
Communicating the rationale behind decisions is essential for the success of software engineering projects. In particular, understanding the rationale of code commits is an important and often difficult task. We posit that ... -
Defining Categorical Reasoning of Numerical Feature Models with Feature-Wise and Variant-Wise Quality Attributes
Muñoz-Guerra, Daniel Jesús; Pinto-Alarcón, Mónica; Gurov, Dilian; Fuentes-Fernández, Lidia (ACM, 2022)
Automatic analysis of variability is an important stage of Software Product Line (SPL) engineering. Incorporating quality information into this stage poses a significant challenge. However, quality-aware automated analysis ... -
Detecting Feature Influences to Quality Attributes in Large and Partially Measured Spaces using Smart Sampling and Dynamic Learning
Emergent application domains (e.g., Edge Computing/Cloud /B5G systems) are complex to be built manually. They are characterised by high variability and are modelled by large \textit{Variability Models} (VMs), leading to ... -
Digital Avatars for Older People’s Care
Fernández-Bertoa, Manuel; Moreno, Nathalie; Perez-Vereda, Alejandro; Bandera García, David; Álvarez-Palomo, José María; Canal-Velasco, José Carlos[et al.] (2020-06-17)
The continuous increase in life expectancy poses a challenge for health systems in modern societies, especially with respect to older people living in rural low-populated areas, both in terms of isolation and difficulty ... -
Diseño de servicios cuánticos a través de la especificación AsyncAPI
Casco Seco, Jorge; Alvarado-Valiente, Jaime; Romero-Alvarez, Javier; Moguel, Enrique; García-Alonso, José; Canal-Velasco, José Carlos; Murillo, Juan M.[et al.] (2023)
La computación cuántica ha evolucionado de ser una idea teórica a convertirse en una realidad tangible. Aunque no es posible acceder directamente a un ordenador cuántico de la misma manera que a los ordenadores convencionales, ... -
Distributed federated and incremental learning for electric vehicles model development in Kafka-ML
With the increasing development and deployment of new systems for efficient and clean mobility, Electric Vehicles (EVs) are becoming more and more common among people. Those produce large amounts of data streams that need ... -
e-LION: Data integration semantic model to enhance predictive analytics in e-Learning.
Paneque Romero, Manuel; Roldán-García, María del Mar; García-Nieto, José Manuel (Sistedes, 2023)
The surge in online education emphasizes Learning Management Systems' (LMSs) crucial role in organizing learning resources and enabling teacher-learner communication. COVID-19 accelerated this, spiking engagement and ... -
Elimination of constraints for parallel analysis of feature models.
Horcas-Aguilera, José Miguel; Ballesteros-Gómez, Joaquín; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (2023)
Cross-tree constraints give feature models maximal expressive power since any interdependency between features can be captured through arbitrary propositional logic formulas. However, the existence of these constraints ... -
Epoch-Based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization.
Colomine Durán, Feijoo; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Springer, 2023)
We consider the issue of intensification/diversification balance in the context of a memetic algorithm for the multiobjective optimization of investment portfolios with cardinality constraints. We approach this issue in ... -
Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments.
Cotta-Porras, Carlos; Gallardo-Ruiz, José Enrique (Springer Nature, 2024)
The problem of finding the optimal placement of emergency exits in an indoor environment to facilitate the rapid and orderly evacuation of crowds is addressed in this work. A cellular-automaton model is used to simulate ... -
Extended Variability Models, Algebra, and Arithmetic
Although classic variability models have been traditionally used to specify members of a product-line, their level of expressiveness was quite limited. Several extensions have been proposed, like numerical features, complex ... -
Fourier Transform-based Surrogates for Permutation Problems
In the context of pseudo-Boolean optimization, surrogate functions based on the Walsh-Hadamard transform have been recently proposed with great success. It has been shown that lower-order components of the Walsh-Hadamard ... -
Generalizing and Unifying Gray-box Combinatorial Optimization Operators.
Gray-box optimization leverages the information available about the mathematical structure of an optimization problem to design efficient search operators. Efficient hill climbers and crossover operators have been proposed ... -
Improving Developers’ Understanding of Regex Denial of Service Tools through Anti-Patterns and Fix Strategies.
Hassan, Sk Adnan; Aamir, Zainab; Lee, Dongyoon; Davis, James C.; Servant-Cortés, Francisco Javier (2023)
Regular expressions are used for diverse purposes, including input validation and firewalls. Unfortunately, they can also lead to a security vulnerability called ReDoS (Regular Expression Denial of Service), caused by a ... -
Improving Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics plus Integer Linear Programming.
Metaheuristics for solving multiobjective problems can provide an approximation of the Pareto front in a short time, but can also have difficulties finding feasible solutions in constrained problems. Integer linear programming ...